Traveling wave-based power distribution network working state analysis method and power distribution monitoring system

Abstract

The invention relates to a traveling wave-based power distribution network working state analysis method and a power distribution monitoring system. The method comprises the steps of obtaining a plurality of first reference detection signals; sequentially comparing the two first reference detection signals with the adjacent relation in the time sequence to obtain a difference signal group; dividing the difference signal groups into regularly appearing difference signal groups and irregularly appearing difference signal groups according to the appearing frequency of the difference signal groups; intercepting the first reference detection signal based on the occurrence time and the deadline of the irregular difference signal group to obtain a second reference detection signal; the traveling wave signals are used for positioning in the area range, and a fault position point is obtained; according to the traveling wave-based power distribution network working state analysis method and the power distribution monitoring system disclosed by the invention, the time period in which the traveling wave possibly exists is found through a comparison processing mode, then the traveling wave is found through a directional extraction and regularity analysis mode, and then the fault range is determined.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to a power distribution network working state analysis method based on traveling wave and a power distribution monitoring system. BACKGROUND

[0002] In recent years, digital devices are gradually pouring into the distribution network operation and maintenance environment. Under the condition of managing hundreds of distribution network lines in the jurisdiction, it is very time-consuming to rely on manual inspection of each pole for line hazards and fault power outages. If the line fault is not handled in a timely manner, it will expand the power outage range, thereby causing greater economic losses.

[0003] In the process of normal operation of the line, hidden dangers caused by other uncertain factors and line faults caused by equipment aging cause the line to trip and power off. In the process of long-term high-load operation of the distribution network line, it is impossible to avoid. At present, there is a way of using traveling wave for fault detection. This detection method cooperates with the fault processing unit to realize automatic off-grid of the fault area to a certain extent.

[0004] The traveling wave has obvious characteristics of high frequency and temporality, and with the help of these characteristics, the traveling wave can be separated, but the wave formation in the power distribution network is relatively complex, and the signal often has non-stationary and nonlinear characteristics, which leads to certain difficulties in discovering the traveling wave. SUMMARY

[0005] The present application provides a power distribution network working state analysis method based on traveling wave and a power distribution monitoring system. By comparing the processing methods, the time period in which the traveling wave may exist is found, and then the traveling wave is found through directional extraction and regularity analysis, and the fault range is determined.

[0006] The above object of the present application is achieved by the following technical scheme: In a first aspect, the present application provides a power distribution network working state analysis method based on traveling wave, comprising: sequentially obtaining detection signals of the same length on a time sequence and filtering out the intermediate frequency part and the low frequency part in the detection signals to obtain a plurality of first reference detection signals; sequentially comparing two first reference detection signals adjacent in the time sequence to obtain a difference signal group; determining the occurrence frequency of the difference signal group and dividing the difference signal group into a regularly occurring difference signal group and a non-regularly occurring difference signal group according to the occurrence frequency; intercepting the first reference detection signal based on the occurrence time and the cutoff time of the non-regularly occurring difference signal group to obtain a second reference detection signal; analyzing the second reference detection signal to obtain a traveling wave signal; The fault location point is obtained by using the traveling wave signal for positioning in a region.

[0007] In a possible implementation manner of the first aspect, the sequentially comparing the two time-series relationships of the adjacent first reference detection signals and obtaining a comparison result comprises: The first reference detection signal is decomposed using a fast Fourier transform mode to obtain a first reference detection signal waveform group; The two first reference detection signal waveform groups are compared to obtain a difference component, and the difference component is taken as a difference signal group; After the difference signal group is obtained, the first reference detection signal window time is readjusted, and the accuracy of the difference signal group is verified.

[0008] In a possible implementation manner of the first aspect, dividing the difference signal group into a regular difference signal group and an irregular difference signal group comprises: The difference signal group is divided into a plurality of subgroups, and each subgroup includes only one waveform; The occurrence frequency of the subgroups in the plurality of first reference detection signals is determined; The difference signal group is divided into the regular difference signal group and the irregular difference signal group according to the occurrence frequency of the subgroups.

[0009] In a possible implementation manner of the first aspect, obtaining the second reference detection signal comprises: The irregular difference signal group is integrated to obtain an irregular difference signal set; The plurality of first reference detection signals corresponding to the irregular difference signal set are determined, and the start time and the end time of the irregular difference signal set are determined; The first reference detection signal is intercepted using the start time and the end time of the difference signal set to obtain the second reference detection signal.

[0010] In a possible implementation manner of the first aspect, the second reference detection signal is analyzed to obtain the traveling wave signal, comprising: The second reference detection signal is extracted using a plurality of frequency ranges to obtain a second reference detection sub-signal, and the plurality of frequency ranges are connected at the head and tail in the numerical value; The second reference detection sub-signal is decomposed using an approximation mode to obtain a continuous signal and a sub-traveling wave signal; All the sub-traveling wave signals are integrated to obtain a suspected traveling wave signal; The suspected traveling wave signal is decomposed using the approximation mode to obtain the continuous signal and the traveling wave signal.

[0011] In a possible implementation manner of the first aspect, the decomposing the second reference detection sub-signal in an approximation manner comprises: selecting maximum points and minimum points on the second reference detection sub-signal; sequentially connecting the maximum points to form an upper envelope line and sequentially connecting the minimum points to form a lower envelope line; calculating a mean signal line of the upper envelope line and the lower envelope line; obtaining an intermediate signal by subtracting the mean signal line from the second reference detection sub-signal; determining a number of local extreme points and a number of zero-crossing points of the intermediate signal, and stopping obtaining the intermediate signal when the number of local extreme points and the number of zero-crossing points are equal or the difference is one and the intermediate signal has symmetry.

[0012] In a possible implementation manner of the first aspect, the positioning in the region range using the traveling wave signal comprises: inquiring similar signals to the traveling wave signal in the region range to obtain a plurality of similar traveling wave signals; determining a generation range of the traveling wave signal and generation ranges of the similar traveling wave signals in the region range; determining overlapping regions of the generation ranges, the number of the overlapping regions being at least one; sorting the overlapping regions according to overlapping degrees, and the overlapping degrees of the overlapping regions sequentially descending in a sequence; taking a first overlapping region in the sequence as a generation region of the traveling wave signal; wherein, when the overlapping regions are determined, a unit point multi-point acquisition manner is used to determine a propagation direction.

[0013] In the second aspect, the application provides a power distribution network working state analysis device based on a traveling wave, comprising: sequentially obtaining detection signals of the same length in a time sequence and filtering out medium frequency parts and low frequency parts in the detection signals to obtain a plurality of first reference detection signals; sequentially comparing two first reference detection signals adjacent in the time sequence to obtain a difference signal group; determining an occurrence frequency of the difference signal group and dividing the difference signal group into a regular occurrence difference signal group and an irregular occurrence difference signal group according to the occurrence frequency; intercepting the first reference detection signal based on an occurrence time and a cutoff time of the irregular occurrence difference signal group to obtain a second reference detection signal; analyzing the second reference detection signal to obtain a traveling wave signal; positioning in a region range using the traveling wave signal to obtain a fault position point.

[0014] In a third aspect, the present application provides a power distribution monitoring system based on traveling wave, the system comprising: one or more memories for storing instructions; and one or more processors for invoking and running the instructions from the memories to perform the method according to the first aspect and any possible implementation of the first aspect.

[0015] In a fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium comprising: a program which, when run by a processor, performs the method according to the first aspect and any possible implementation of the first aspect.

[0016] In a fifth aspect, the present application provides a computer program product comprising program instructions, when the program instructions are run by a computing device, the method according to the first aspect and any possible implementation of the first aspect is performed.

[0017] In a sixth aspect, the present application provides a chip system, the chip system comprising a processor for implementing the functions involved in the above aspects, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0018] The chip system can be composed of a chip, or can comprise a chip and other discrete devices.

[0019] In a possible design, the chip system further comprises a memory, the memory being configured to store necessary program instructions and data. The processor and the memory can be decoupled and arranged on different devices, and connected through wired or wireless manner, or the processor and the memory can be coupled on the same device. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 is a schematic block diagram of a step flow of a power distribution network working state analysis method based on traveling wave provided by the present application.

[0021] Figure 2 is a schematic diagram of obtaining a difference signal packet provided by the present application.

[0022] Figure 3 is a schematic diagram of obtaining a second reference detection signal provided by the present application.

[0023] Figure 4 is a flow chart of processing a signal using an approximation method provided by the present application.

[0024] Figure 5 is a schematic diagram of a sensor deployment position provided by the present application.

[0025] Figure 6 is a schematic diagram of the same position multi-point collection provided by the present application.

[0026] Figure 7 is a schematic diagram of the traveling wave signal generation area provided by the present application. DETAILED DESCRIPTION

[0027] The technical solutions in the present application are further described in detail below with reference to the drawings.

[0028] The present application discloses a power distribution network working state analysis method based on traveling wave, please refer to Figure 1 In some examples, the power distribution network working state analysis method based on traveling wave disclosed by the present application includes the following steps: S101, sequentially obtaining detection signals with the same length on a time sequence and filtering out the intermediate frequency part and the low frequency part in the detection signals to obtain a plurality of first reference detection signals; S102, sequentially comparing two first reference detection signals with a time sequence relationship of being adjacent to obtain a difference signal group; S103, determining the occurrence frequency of the difference signal group and dividing the difference signal group into a regular occurrence difference signal group and a non-regular occurrence difference signal group according to the occurrence frequency; S104, intercepting the first reference detection signal based on the occurrence time and the cutoff time of the non-regular occurrence difference signal group to obtain a second reference detection signal; S105, analyzing the second reference detection signal to obtain a traveling wave signal; S106, using the traveling wave signal for positioning within a region to obtain a fault position point.

[0029] The acquisition of the detection signal in the present application needs a sensor to collect, and the sensor generally uses a high-precision sensor (PCB type voltage traveling wave sensor based on Rogowski coil), a magnetic core winding sensor and an open-loop core-penetrating sensor, etc. The data collected by the sensor is sent to the cloud for analysis, and the data sent to the cloud also includes position information.

[0030] In step S101, detection signals with the same length are sequentially obtained on a time sequence and the intermediate frequency part and the low frequency part in the detection signals are filtered out, because the traveling wave signal is a high-frequency signal, and the intermediate frequency part and the low frequency part in the detection signal are filtered out in the present application, the purpose is to improve the signal-to-noise ratio of the traveling wave signal.

[0031] The detection signal obtained at this time becomes a first reference detection signal. The method of sequentially obtaining detection signals with the same length cuts the received signal with the same time length, and each received signal becomes a detection signal.

[0032] It should be understood that the frequency of the traveling wave signal is mainly distributed in the range of several kilohertz (kHz) to several megahertz (MHz), for example, when the power system has a short circuit or ground fault, the traveling wave signal usually contains a high-frequency transient component of 10 kHz-2 MHz.

[0033] In step S102, two first reference detection signals in time sequence are sequentially compared, and a difference signal group is obtained, as shown in Figure 2 As shown in the figure, the difference signal in the difference signal group refers to the appearance of only one of the two first reference detection signals in time sequence.

[0034] In step S103, the occurrence frequency of the difference signal group is determined, and the difference signal group is divided into a regular occurrence difference signal group and an irregular occurrence difference signal group according to the occurrence frequency. The difference signal in the difference signal group may be continuously present or discontinuously present, and the discontinuous occurrence has regular occurrence and irregular occurrence.

[0035] For the irregular occurrence difference signal, it may include the traveling wave signal.

[0036] It should be noted that in the process of obtaining the difference signal group, only the appearance or non-appearance of the difference signal in the difference signal group in the first reference detection signal is considered, and the time and phase are ignored here.

[0037] For regular occurrence (same time length, same interval time) and irregular occurrence, there are several performance modes: The time length of each occurrence is the same; The time length of each occurrence is the same but the interval time is different; The time length of each occurrence is different but the interval time is the same; The time length of each occurrence is different, and the interval time is also different.

[0038] For the time length here, if the difference is 3%-5%, then the difference is considered the same, which mainly considers the collection error and calculation error.

[0039] In step S104, the non-regular occurrence difference signal group is intercepted on the first reference detection signal based on the occurrence time and the cutoff time of the non-regular occurrence difference signal group, and the second reference detection signal is obtained, as shown in Figure 3 As shown in the figure, the time length corresponding to the second reference detection signal is the time length of the irregular occurrence difference signal group.

[0040] Finally, in step S105 and step S106, the second reference detection signal is analyzed to obtain a traveling wave signal and the traveling wave signal is used to locate the fault location point in the area range.

[0041] The specific way of using the traveling wave signal to locate in the area range is to first deduce the generation area of the traveling wave signal according to the received position of the traveling wave signal. When the obtained traveling wave signal is multiple, the deduced generation areas will overlap, and the fault location point can be obtained accordingly. Of course, the fault location point here refers to an area, not a specific point.

[0042] In some examples, the way of sequentially comparing two first reference detection signals in time sequence and obtaining the comparison result is as follows: S201, using fast Fourier transform to decompose the first reference detection signal to obtain a first reference detection signal waveform group; S202, comparing two first reference detection signal waveform groups and obtaining difference components and taking the difference components as a difference signal group; After obtaining the difference signal group, it further includes readjusting the first reference detection signal window time and verifying the accuracy of the difference signal group.

[0043] The fast Fourier transform can decompose the first reference detection signal into multiple single waveforms, each waveform having different amplitude and frequency. These single waveforms constitute the first reference detection signal waveform group. Then, two first reference detection signal waveform groups are compared to obtain difference components, which refer to single waveforms that do not appear simultaneously in two first reference detection signals in time sequence.

[0044] Finally, these difference components are taken as a difference signal group. The purpose of using sequential comparison is to focus on the sudden appearance of single waveforms at a certain time point. If two-by-two comparison is used, the number of single waveforms in the difference signal group will be too large, and even the second reference detection signal cannot be obtained because in some extreme cases, the time length of the second reference detection signal obtained by two-by-two comparison is almost the same as that of the first reference detection signal.

[0045] The specific way of dividing the difference signal group into regular difference signal group and irregular difference signal group is as follows: S301, dividing the difference signal group into multiple subgroups, each subgroup including only one waveform; S302, determining the occurrence frequency of the subgroups in multiple first reference detection signals; S303, divide the difference signal group into regular occurrence difference signal group and irregular occurrence difference signal group according to the occurrence frequency of the sub-group.

[0046] In the above manner, the difference signal group is decomposed, and each sub-group obtained at this time only includes one waveform. Then, the occurrence frequency of the sub-group in the plurality of first reference detection signals is determined. This part is the same as the regular occurrence (same time length, same interval time) and irregular occurrence described in the foregoing content, and will not be described here.

[0047] Finally, the difference signal group is divided into regular occurrence difference signal group and irregular occurrence difference signal group according to the occurrence frequency of the sub-group.

[0048] The purpose of decomposing the difference signal group is that the waveforms included in the difference signal group may have a part that occurs regularly (non-continuous), and this part of the waveform needs to be excluded. The specific manner is to determine whether the occurrence of each waveform in the difference signal group is regular or not.

[0049] Finally, the difference signal group is divided into regular occurrence difference signal group and irregular occurrence difference signal group according to the occurrence frequency of the sub-group.

[0050] In some examples, the specific steps to obtain the second reference detection signal are: S401, integrate the irregular occurrence difference signal group to obtain an irregular occurrence difference signal set; S402, determine the plurality of first reference detection signals corresponding to the irregular occurrence difference signal set and determine the start time and end time of the irregular occurrence difference signal set; S403, use the start time and end time of the difference signal set to intercept the first reference detection signal to obtain the second reference detection signal.

[0051] In steps S401 to S403, the irregular occurrence difference signal group is integrated and processed, and then the start time and end time corresponding to the irregular occurrence difference signal are determined. At this time, one time period may be obtained, or multiple time periods may be obtained.

[0052] Further description is as follows: after the irregular occurrence difference signal group is integrated and processed, an integrated group is obtained. The occurrence time of the integrated group may be one time period or multiple time periods. These time periods are used to intercept the first reference detection signal to obtain the second reference detection signal.

[0053] In addition, the obtained time period also needs to be extended before and after the time period, and generally extended by 50-100 milliseconds.

[0054] In some examples, the specific way of analyzing the second reference detection signal and obtaining the traveling wave signal is as follows: The second reference detection signal is extracted using a plurality of frequency ranges, respectively, to obtain a second reference detection sub-signal, and the plurality of frequency ranges are connected at both ends in value; The second reference detection sub-signal is decomposed using an approximation method to obtain a continuous signal and a sub-traveling wave signal; All sub-traveling wave signals are integrated to obtain a suspected traveling wave signal; The suspected traveling wave signal is decomposed using an approximation method to obtain a continuous signal and a traveling wave signal.

[0055] In the above method, the second reference detection signal is first extracted (decomposed) according to the frequency range, at this time the second reference detection sub-signal is obtained, the number of second reference detection sub-signals is the same as the number of frequency ranges, and the difference between the two end points of the frequency range is generally controlled at 300-500 kHz.

[0056] Then the second reference detection sub-signal is decomposed using an approximation method to obtain a continuous signal and a sub-traveling wave signal, please refer to Figure 4 The specific steps of the approximation method are as follows: Select the maximum value point and the minimum value point on the second reference detection sub-signal; Sequentially connect the maximum value points to form an upper envelope line and sequentially connect the minimum value points to form a lower envelope line; Calculate the mean signal line of the upper envelope line and the lower envelope line; Subtract the mean signal line from the second reference detection sub-signal to obtain an intermediate signal; Determine the number of local extreme points and the number of zero-crossing points of the intermediate signal, and stop obtaining the intermediate signal when the number of local extreme points and the number of zero-crossing points are equal or the difference is one and the intermediate signal has symmetry.

[0057] It should be noted that the maximum value point corresponds to the peak point of the second reference detection sub-signal, and the minimum value point corresponds to the valley point of the second reference detection sub-signal. After obtaining the maximum value point and the minimum value point, sequentially connect the maximum value points to form an upper envelope line and sequentially connect the minimum value points to form a lower envelope line.

[0058] The upper envelope line and the lower envelope line respectively carry part of the signal characteristics of the second reference detection sub-signal, and then the mean signal line of the upper envelope line and the lower envelope line is calculated. The specific way is to calculate the mean value of the corresponding points (same horizontal coordinate) on the upper envelope line and the lower envelope line, and then sequentially connect the obtained points, at this time the curve obtained is the mean signal line.

[0059] Here, assuming that the second reference detection sub-signal is a regular signal, a regular mean signal line can also be obtained through the upper envelope line and the lower envelope line. When the second reference detection sub-signal is a non-regular signal, the mean signal line obtained at this time is also a non-regular signal, and the non-mean signal line carries some non-regular characteristics.

[0060] The way of obtaining the intermediate signal by subtracting the mean signal line from the second reference detection sub-signal can remove part of the non-regular signal. At this time, the number of local extreme points and the number of zero-crossing points of the intermediate signal are determined. When the number of local extreme points and the number of zero-crossing points are equal or the difference is one and the intermediate signal has symmetry, the intermediate signal is stopped. If not, the above process is repeated using the intermediate signal until the number of local extreme points and the number of zero-crossing points are equal or the difference is one and the intermediate signal has symmetry.

[0061] After obtaining the intermediate signal, the above process is repeated again after removing the intermediate signal in the second reference detection sub-signal until the intermediate signal is no longer generated when the requirement (the number of local extreme points and the number of zero-crossing points are equal or the difference is one and the intermediate signal has symmetry) is met.

[0062] At this time, the second reference detection sub-signal still exists, and these signals are considered to be traveling wave signals.

[0063] Please refer to Figure 5 In some examples, the specific way of using traveling wave signals for positioning in the region range is as follows: S501, query signals similar to the traveling wave signal in the region range to obtain a plurality of similar traveling wave signals; S502, determine the generation range of the traveling wave signal and the generation range of the similar traveling wave signal in the region range; S503, determine the overlapping area of the generation range, and the number of overlapping areas is at least one; S504, sort the overlapping areas according to the overlapping degree, and the overlapping degree of the overlapping areas decreases in order sequence; S505, take the first overlapping area in the order sequence as the generation area of the traveling wave signal; Wherein, when determining the overlapping area, the unit point multi-point collection method is used to determine the propagation direction.

[0064] When the traveling wave signal is obtained, signals similar to the traveling wave signal in the region range are queried to obtain a plurality of similar traveling wave signals. Here, the way of using frequency and amplitude to search is used, and the error range is controlled at about 2%-5%, or determined according to the actual detection of line loss in the region range.

[0065] After obtaining the similar traveling wave signal, the generation range of the traveling wave signal and the generation range of the similar traveling wave signal are determined within the region range. Here, reference is made to the power distribution network diagram within the region range, and the generation range is generally determined using a digital twin method.

[0066] Then, the overlapping region of the generation range is determined, at which time the unit point multi-point acquisition method is used to determine the propagation direction. It needs to be explained that, as mentioned in the foregoing, the sensors are deployed at multiple positions, such as Figure 5 If it is necessary to determine the propagation direction of the traveling wave, multiple sensors need to be deployed at the same position, and the propagation direction of the traveling wave is determined through multi-point acquisition, as shown in Figure 6 .

[0067] Please refer to Figure 7 In step S503, the overlapping region of the generation range is determined, and the number of the overlapping region is at least one. Then, in step S504, the overlapping regions are sorted according to the overlapping degree, and in the order sequence, the overlapping degree of the overlapping region decreases in order, that is, the probability of the overlapping region as the generation range of the traveling wave signal decreases in order.

[0068] Finally, in step S505, the first overlapping region in the order sequence is taken as the generation range of the traveling wave signal, as shown by the dashed line region in Figure 7 .

[0069] The application also provides a power distribution network working state analysis device based on a traveling wave, comprising: sequentially obtaining detection signals of the same length in time sequence and filtering out the intermediate frequency part and the low frequency part in the detection signals to obtain a plurality of first reference detection signals; sequentially comparing two first reference detection signals adjacent in time sequence to obtain a difference signal group; determining the occurrence frequency of the difference signal group and dividing the difference signal group into a regular occurrence difference signal group and an irregular occurrence difference signal group according to the occurrence frequency; intercepting the first reference detection signal based on the occurrence time and the cutoff time of the irregular occurrence difference signal group to obtain a second reference detection signal; analyzing the second reference detection signal to obtain a traveling wave signal; locating the fault position point using the traveling wave signal within the region range.

[0070] Further, the sequentially comparing two first reference detection signals adjacent in time sequence and obtaining a comparison result include: using a fast Fourier transform method to decompose the first reference detection signal to obtain a first reference detection signal waveform group; comparing two first reference detection signal waveform groups and obtaining difference components and grouping the difference components as a difference signal group; wherein after obtaining the difference signal group, further comprising readjusting the first reference detection signal window time and verifying the accuracy of the difference signal group.

[0071] Further, dividing the difference signal group into a regular occurrence difference signal group and an irregular occurrence difference signal group comprises: dividing the difference signal group into a plurality of subgroups, each of which only includes one waveform; determining the occurrence frequency of the subgroups in the plurality of first reference detection signals; dividing the difference signal group into a regular occurrence difference signal group and an irregular occurrence difference signal group according to the occurrence frequency of the subgroups.

[0072] Further, obtaining the second reference detection signal comprises: integrating the irregular occurrence difference signal group to obtain an irregular occurrence difference signal set; determining the plurality of first reference detection signals corresponding to the irregular occurrence difference signal set and determining the start time and end time of the irregular occurrence difference signal set; using the start time and end time of the difference signal set to intercept the first reference detection signal to obtain the second reference detection signal.

[0073] Further, analyzing the second reference detection signal and obtaining a traveling wave signal comprises: using a plurality of frequency ranges to extract the second reference detection signal respectively to obtain a second reference detection sub-signal, the plurality of frequency ranges being connected at the head and tail in value; using an approximation method to decompose the second reference detection sub-signal to obtain a continuous signal and a sub-traveling wave signal; integrating all the sub-traveling wave signals to obtain a suspected traveling wave signal; using an approximation method to decompose the suspected traveling wave signal to obtain a continuous signal and a traveling wave signal.

[0074] Further, using an approximation method to decompose the second reference detection sub-signal comprises: selecting maximum points and minimum points on the second reference detection sub-signal; sequentially connecting the maximum points to form an upper envelope line and sequentially connecting the minimum points to form a lower envelope line; calculating a mean signal line of the upper envelope line and the lower envelope line; using the second reference detection sub-signal to subtract the mean signal line to obtain an intermediate signal; The number of local extreme points and the number of zero-crossing points of the intermediate signal are determined, and the intermediate signal is obtained when the number of local extreme points and the number of zero-crossing points are equal or the difference is one and the intermediate signal has symmetry.

[0075] Further, the positioning using the traveling wave signal in the region range comprises: querying signals similar to the traveling wave signal in the region range to obtain a plurality of similar traveling wave signals; determining the generation range of the traveling wave signal and the generation range of the similar traveling wave signal in the region range; determining the overlapping region of the generation range, and the number of the overlapping region is at least one; sorting the overlapping regions according to the overlapping degree, and the overlapping degree of the overlapping regions decreases in the order sequence; taking the first overlapping region in the order sequence as the generation region of the traveling wave signal; wherein, when determining the overlapping region, the unit point multi-point acquisition mode is used to determine the propagation direction.

[0076] In one example, the units in any of the above apparatuses can be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0077] For another example, when the units in the apparatus can be implemented in the form of a processing element scheduler, the processing element can be a general purpose processor, such as a central processing unit (CPU) or other processor that can invoke programs. For another example, these units can be integrated together to implement a system-on-a-chip (SOC).

[0078] In the present application, various messages / information / devices / network elements / systems / apparatuses / actions / operations / processes / concepts, etc. may be named, and it can be understood that these specific names do not constitute a limitation on the related objects, and the names can be changed according to the scene, context or usage habits, etc. The technical meaning of the technical terms in the present application should be mainly determined from the function and technical effect embodied / executed in the technical scheme.

[0079] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the system, device and unit described above can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0080] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or communication connection between the units can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or in other forms.

[0081] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., they can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0082] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0083] It should also be understood that in various embodiments of the present application, first, second, etc. are only to represent that a plurality of objects are different. For example, the first time window and the second time window are only to represent different time windows. The above first, second, etc. should not have any impact on the time window itself, and should not limit the embodiments of the present application.

[0084] It should also be understood that in various embodiments of the present application, the terms and / or descriptions of different embodiments have consistency and can be mutually referred to if there is no special description and logical conflict. The technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0085] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts of the prior art that make contributions or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a computer readable storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned computer readable storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0086] The present application also provides a power distribution monitoring system based on a traveling wave, the system comprising: one or more memories for storing instructions; and one or more processors for invoking and running the instructions from the memories to perform the methods as described in the above.

[0087] The present application also provides a computer program product comprising instructions which, when executed, cause the terminal device and the network device to perform the operations of the terminal device and the network device corresponding to the above methods.

[0088] The present application also provides a chip system comprising a processor for implementing the functions involved in the above, such as generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0089] The chip system can be composed of a chip, or can include a chip and other discrete devices.

[0090] The processor mentioned in any of the above can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the programs of the above feedback information transmission method.

[0091] In a possible design, the chip system further includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and arranged on different devices, connected through wired or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0092] Optionally, the computer instructions are stored in the memory.

[0093] Optionally, the memory is a storage unit in the chip, such as a register, a cache, etc. The memory can also be a storage unit outside the chip in the terminal, such as a ROM or other type of static storage device that can store static information and instructions, a RAM, etc.

[0094] It can be understood that the memory in the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0095] The non-volatile memory can be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically EPROM (EEPROM), or a flash memory.

[0096] The volatile memory can be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synch link DRAM (SLDRAM), and direct Rambus dynamic RAM (DRDRAM).

[0097] The embodiments of the present specific implementation are the preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, any equivalent changes made in the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A method for analyzing the operating status of a power distribution network based on traveling waves, characterized in that, include: Multiple first reference detection signals are obtained by sequentially acquiring detection signals of the same length in the time series and filtering out the intermediate frequency and low frequency components of the detection signals. Two first reference detection signals that are adjacent in time series are compared sequentially to obtain difference signal groups; Determine the frequency of occurrence of differential signal groups and classify them into regularly occurring differential signal groups and irregularly occurring differential signal groups based on their frequency of occurrence; The second reference detection signal is obtained by extracting the occurrence and cutoff times of irregularly occurring difference signal groups from the first reference detection signal. The traveling wave signal is obtained by analyzing the second reference detection signal; The fault location is determined by using traveling wave signals within the area.

2. The method for analyzing the operating status of a power distribution network based on traveling waves according to claim 1, characterized in that, The comparison results of two adjacent first reference detection signals in time series are obtained by sequentially comparing them, including: The first reference detection signal is decomposed using the Fast Fourier Transform method to obtain the waveform group of the first reference detection signal; Compare the two sets of first reference detection signal waveforms and obtain the difference components, then group the difference components as difference signals. After obtaining the difference signal grouping, the process also includes readjusting the first reference detection signal window time and verifying the accuracy of the difference signal grouping.

3. The method for analyzing the operating status of a power distribution network based on traveling waves according to claim 2, characterized in that, The differential signal groups are divided into groups with regularly occurring differential signals and groups with irregularly occurring differential signals, including: The difference signal is divided into multiple subgroups, and each subgroup contains only one waveform; Determine the frequency of occurrence of subgroups in multiple first reference detection signals; Based on the frequency of occurrence of subgroups, the difference signal groups are divided into groups with regular difference signals and groups with irregular difference signals.

4. The method for analyzing the operating status of a power distribution network based on traveling waves according to claim 3, characterized in that, The second reference detection signal is obtained as follows: The irregularly occurring difference signals are grouped and integrated to obtain a set of irregularly occurring difference signals. Identify multiple first-reference detection signals corresponding to the set of irregularly occurring difference signals and determine the start and end times of the set of irregularly occurring difference signals; The second reference detection signal is obtained by truncating the first reference detection signal using the start and end times of the difference signal set.

5. The method for analyzing the operating status of a power distribution network based on traveling waves according to claim 1, characterized in that, The analysis of the second reference detection signal to obtain the traveling wave signal includes: The second reference detection signal is extracted using multiple frequency ranges to obtain the second reference detection sub-signal, and the multiple frequency ranges are numerically connected end to end. The second reference detection sub-signal is decomposed using an approximation method to obtain a continuous signal and a sub-traveling wave signal; All the sub-traveling wave signals are integrated and processed to obtain a suspected traveling wave signal; The suspected traveling wave signal was decomposed using an approximation method to obtain the continuous signal and the traveling wave signal.

6. The method for analyzing the operating status of a power distribution network based on traveling waves according to claim 5, characterized in that, Decomposing the second reference detection sub-signal using an approximation method includes: Select the maximum and minimum points on the second reference detection sub-signal; Connecting the maxima in sequence forms the upper envelope, and connecting the minima in sequence forms the lower envelope. Calculate the mean signal lines of the upper and lower envelopes; The intermediate signal is obtained by subtracting the mean signal line from the second benchmark detection sub-signal; Determine the number of local extrema and zero-crossings of the intermediate signal. Stop obtaining the intermediate signal when the number of local extrema and zero-crossings are equal or the difference is one and the intermediate signal has symmetry.

7. The method for analyzing the operating status of a power distribution network based on traveling waves according to claim 1, characterized in that, Positioning using traveling wave signals within a defined area includes: By searching for signals similar to the traveling wave signal within the region, multiple similar traveling wave signals were obtained. Determine the generation range of traveling wave signals and the generation range of similar traveling wave signals within the region; Determine the overlapping regions that generate the range; the number of overlapping regions must be at least one. The overlapping regions are sorted according to their degree of overlap, and in the sequential sequence, the degree of overlap of the overlapping regions decreases in order. The first overlapping region of the sequential sequence is taken as the region where the traveling wave signal is generated; When determining the overlapping area, a single-location multi-point acquisition method is used to determine the propagation direction.

8. A power distribution network operating status analysis device based on traveling waves, characterized in that, include: Multiple first reference detection signals are obtained by sequentially acquiring detection signals of the same length in the time series and filtering out the intermediate frequency and low frequency components of the detection signals. Two first reference detection signals that are adjacent in time series are compared sequentially to obtain difference signal groups; Determine the frequency of occurrence of differential signal groups and classify them into regularly occurring differential signal groups and irregularly occurring differential signal groups based on their frequency of occurrence; The second reference detection signal is obtained by extracting the occurrence and cutoff times of irregularly occurring difference signal groups from the first reference detection signal. The traveling wave signal is obtained by analyzing the second reference detection signal; The fault location is determined by using traveling wave signals within the area.

9. A power distribution monitoring system based on traveling waves, characterized in that, The system includes: One or more memories for storing instructions; and One or more processors are configured to retrieve and execute the instructions from the memory to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes: The program, when run by the processor, executes the method as described in any one of claims 1 to 7.

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